公开(公告)号：US20220366217A1

公开(公告)日：2022-11-17

申请号：US17864596

申请日：2022-07-14

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Briraj SINGH ,  Amogha UDUPA SHANKARANARAYANA GOPAL ,  Aniket DWIVEDI ,  Bharat MUDRAGADA ,  Alladi Ashok Kumar SENAPATI ,  Suhas Parlathaya KUDRAL ,  Arun ABRAHAM ,  Praveen Doreswamy NAIDU

IPC: G06N3/04

Abstract: Embodiments herein provide a method and system for network and hardware aware computing layout selection for efficient Deep Neural Network (DNN) Inference. The method comprises: receiving, by the electronic device, a DNN model to be executed, wherein the DNN model is associated with a task; dividing the DNN model into a plurality of sub-graphs, wherein each sub-graph is to be processed individually; identifying a computing unit from a plurality of computing units for execution of each sub-graph based on a complexity score; and determining a computing layout from a plurality of computing layouts for each identified computing unit, wherein the sub-graph is executed on the identified computing unit through the determined computing layout.